Associate Data Scientist - Operations Research

Associate Data Scientist - Operations Research

Full-Time 28800 - 48000 £ / year (est.) No working from home possible
Wheely

At a Glance

  • Tasks: Join our team to tackle exciting challenges in data science and optimisation.
  • Company: Wheely, a premium ride-hailing service redefining transportation.
  • Benefits: Flexible hours, stock options, office lunches, and private medical insurance.
  • Other info: Enjoy professional development opportunities and work with cutting-edge technology.
  • Why this job: Make a real impact on dynamic pricing and matching problems in a fast-growing company.
  • Qualifications: Master's or PhD in Operations Research or related field with strong programming skills.

The predicted salary is between 28800 - 48000 £ per year.

About Wheely

Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience. As a profitable, fast-growing scale-up with $43M raised, we are expanding rapidly across EMEA and the US. We are adding exceptional talent to drive our next phase of growth. We are hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment. You will join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.

Responsibilities

  • Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
  • Research, prototype, and ship ML and optimisation models into production
  • Continuously improve existing algorithms and identify opportunities for new ones

Requirements

  • Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
  • Strong foundation in mathematical optimisation or mathematical programming
  • Solid knowledge of probability & statistics
  • Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)

Nice to have

  • Exposure to dynamic pricing, auction design, or marketplace matching problems

What we offer

Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.

  • Competitive salary
  • Equity in the form of stock options
  • Office lunches, as Wheely has an in-person culture
  • Private medical insurance
  • Newest Mac equipment
  • Professional development. An annual stipend to use for continuing education courses, programs, conference or certifications.

Associate Data Scientist - Operations Research employer: Wheely

As a Product Manager at our innovative company, you will thrive in a dynamic work culture that values collaboration and creativity. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all set in a vibrant location that fosters both personal and career development. Join us to make a meaningful impact on user-facing products while working alongside passionate professionals dedicated to excellence.

Wheely

Contact Details:

Wheely Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Data Scientist - Operations Research

Tip Number 1

Network like a pro! Reach out to current or former employees at Wheely on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Show off your skills! Prepare a portfolio of projects that highlight your expertise in Operations Research and ML. We love seeing real-world applications of your work, so make sure to showcase your best stuff.

Tip Number 3

Ace the interview by practising common data science questions and case studies. We want to see how you think through problems, so be ready to explain your thought process clearly and confidently.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the Wheely team. Don’t miss out!

We think you need these skills to ace Associate Data Scientist - Operations Research

Mathematical Optimisation
Mathematical Programming
Probability
Statistics
Python
Machine Learning Tooling
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Associate Data Scientist role. Highlight your experience in Operations Research and any relevant projects you've worked on. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our Pricing or Matching teams. Be genuine and let your personality come through.

Showcase Your Technical Skills:Don’t forget to highlight your programming skills, especially in Python and any ML tools you’re familiar with. We love seeing practical examples of your work, so if you have any projects or GitHub repos, include them!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!

How to prepare for a job interview at Wheely

Know Your Stuff

Make sure you brush up on your knowledge of Operations Research and optimisation techniques. Be ready to discuss specific algorithms or models you've worked with, especially in relation to dynamic pricing or marketplace matching. This shows you're not just familiar with the theory but can apply it practically.

Showcase Your Collaboration Skills

Wheely values teamwork, so be prepared to share examples of how you've collaborated with engineers, designers, or product managers in the past. Highlight any projects where you tackled ambiguous problems together, as this will demonstrate your ability to work effectively in a team environment.

Prepare for Technical Questions

Expect some technical questions during the interview, especially around Python programming and core ML tools like SQL and PyTorch. Practise coding challenges or case studies related to optimisation problems to ensure you're ready to showcase your skills under pressure.

Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions about Wheely’s approach to data science and operations research. Inquire about the challenges the Pricing or Matching teams are currently facing. This shows your genuine interest in the role and helps you assess if it's the right fit for you.